Jebus — CS2 Stats
76561198113049945[U:1:152784217]Steam profile ↗
How this compares with the same rank
Median values for Blue band among CSDB-tracked players (n=1,240), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.
| Metric | This player | Blue band median | Purple band median | vs Purple band |
|---|---|---|---|---|
| Headshot rate | 42.5% | 41.7% | 44.1% | 1.6% short |
| Shot accuracy | 13.2% | 8.8% | 11.4% | above |
| Kill/death ratio | 1.00 | 0.97 | 1.03 | 0.03 short |
| Match win rate | 44.5% | 43.8% | 45.2% | meets |
This profile matches the typical Purple band player on 2 of 4 comparable metrics.
Widest gap: Headshot rate. That is the metric furthest from the Purple band median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +10pp win rate · +0.00 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.
Your pro match
Plays most like device 87% playstyle similarity
Most alike: opening-duel success, opening-fight frequency.
Where you differ: lower utility contribution; lower aim profile.
Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →
Strengths & areas to improve
Areas to improve
Reaction time. 621ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.
Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.
CSDB Rating breakdown
Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.
Trends
Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
 mirage | D | 26 | 7–19 | 27% | -0.04 |
 inferno | A | 12 | 7–5 | 58% | -0.00 |
 overpass | C | 9 | 4–5 | 44% | -0.02 |
 nuke | S | 9 | 6–3 | 67% | 0.01 |
 train | D | 9 | 3–6 | 33% | 0.01 |
 ancient | C | 8 | 3–5 | 38% | -0.06 |
 vertigo | S | 8 | 7–1 | 88% | 0.01 |
 anubis | B | 6 | 3–3 | 50% | -0.03 |
 dust2 | D | 6 | 1–5 | 17% | -0.06 |
 cache | D | 6 | 2–4 | 33% | -0.01 |
| office | — | 1 | 0–1 | 0% | -0.03 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (17% over 6). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Lifetime stats
Most-used weapons
Lifetime map wins
Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.
Skill profile
Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.
Recommended for you
Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.
17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| inferno | 13–7 | -0.04 | 12% | 21 Jun → | |
| overpass | 13–9 | 0.00 | 8% | 19 Jun → | |
| mirage | 10–13 | 0.05 | 14% | 18 Jun → | |
| nuke | 16–13 | 0.03 | 12% | 17 Jun → | |
| mirage | 4–13 | -0.05 | 4% | 16 Jun → | |
| nuke | 6–13 | -0.07 | 16% | 16 Jun → | |
| nuke | 7–13 | -0.03 | 11% | 16 Jun → | |
| nuke | 13–11 | -0.03 | 18% | 16 Jun → | |
| overpass | 13–3 | 0.03 | 24% | 15 Jun → | |
| ancient | 3–13 | -0.14 | 14% | 30 May → | |
| anubis | 13–10 | 0.02 | 13% | 30 May → | |
| mirage | 2–13 | -0.10 | 29% | 30 May → | |
| mirage | 6–13 | -0.03 | 17% | 28 May → | |
| mirage | 13–9 | -0.05 | 14% | 28 May → | |
| ancient | 14–16 | -0.07 | 17% | 28 May → | |
| anubis | 14–16 | -0.02 | 22% | 25 May → | |
| mirage | 9–13 | -0.02 | 12% | 25 May → | |
| mirage | 13–8 | 0.00 | 14% | 25 May → | |
| inferno | 13–11 | -0.02 | 7% | 25 May → | |
| inferno | 15–15 | 0.01 | 16% | 24 May → | |
| anubis | 13–7 | -0.03 | 20% | 24 May → | |
| ancient | 13–5 | -0.01 | 15% | 24 May → | |
| dust2 | 5–13 | -0.08 | 14% | 24 May → | |
| mirage | 5–13 | -0.08 | 6% | 23 May → | |
| anubis | 8–13 | -0.04 | 20% | 23 May → | |
| inferno | 5–13 | -0.06 | 15% | 22 May → | |
| cache | 12–12 | 0.01 | 29% | 18 May → | |
| mirage | 13–11 | -0.06 | 10% | 18 May → | |
| ancient | 8–13 | -0.03 | 18% | 17 May → | |
| office | 12–12 | -0.03 | 34% | 17 May → | |
| cache | 13–11 | -0.02 | 16% | 17 May → | |
| inferno | 11–2 | 0.00 | 21% | 17 May → | |
| cache | 7–13 | 0.00 | 37% | 16 May → | |
| dust2 | 11–13 | -0.04 | 17% | 16 May → | |
| mirage | 2–13 | -0.10 | 14% | 16 May → | |
| inferno | 8–13 | 0.01 | 22% | 16 May → | |
| mirage | 4–13 | -0.02 | 17% | 15 May → | |
| ancient | 13–9 | -0.05 | 7% | 15 May → | |
| dust2 | 4–13 | -0.09 | 17% | 15 May → | |
| dust2 | 13–11 | -0.07 | 9% | 13 May → | |
| mirage | 8–13 | -0.07 | 31% | 13 May → | |
| inferno | 5–13 | -0.08 | 11% | 13 May → | |
| mirage | 13–5 | -0.02 | 15% | 13 May → | |
| anubis | 11–13 | -0.08 | 16% | 12 May → | |
| overpass | 13–8 | -0.02 | 10% | 12 May → | |
| inferno | 13–9 | 0.04 | 19% | 12 May → | |
| overpass | 13–10 | 0.09 | 14% | 12 May → | |
| mirage | 8–13 | -0.08 | 15% | 11 May → | |
| cache | 13–5 | 0.02 | 24% | 10 May → | |
| ancient | 6–13 | -0.09 | 8% | 8 May → | |
| overpass | 3–13 | -0.01 | 14% | 8 May → | |
| cache | 6–13 | -0.06 | 23% | 6 May → | |
| mirage | 13–10 | -0.04 | 7% | 6 May → | |
| overpass | 7–13 | -0.04 | 13% | 6 May → | |
| mirage | 13–7 | -0.00 | 24% | 5 May → | |
| cache | 11–13 | -0.02 | 12% | 5 May → | |
| train | 11–13 | 0.03 | 13% | 5 May → | |
| dust2 | 10–13 | -0.01 | 10% | 4 May → | |
| dust2 | 2–13 | -0.09 | 8% | 15 Oct → | |
| inferno | 13–9 | -0.02 | 16% | 14 Oct → | |
| vertigo | 10–13 | 0.03 | 25% | 8 Sept → | |
| train | 6–13 | -0.05 | 21% | 8 Sept → | |
| vertigo | 13–5 | 0.10 | 21% | 8 Sept → | |
| vertigo | 13–9 | 0.00 | 12% | 2 Sept → | |
| train | 13–4 | -0.05 | 16% | 2 Sept → | |
| inferno | 9–6 | 0.07 | 17% | 5 Mar → | |
| nuke | 6–9 | -0.05 | 17% | 5 Mar → | |
| nuke | 9–7 | 0.11 | 20% | 3 Mar → | |
| nuke | 11–3 | 0.00 | 6% | 3 Mar → | |
| nuke | 13–4 | 0.17 | 23% | 3 Mar → | |
| train | 7–13 | -0.04 | 16% | 24 Feb → | |
| mirage | 7–13 | -0.03 | 11% | 4 Feb → | |
| train | 13–6 | 0.08 | 12% | 4 Feb → | |
| train | 13–10 | 0.05 | 14% | 31 Jan → | |
| train | 11–13 | 0.00 | 17% | 31 Jan → | |
| mirage | 6–13 | 0.04 | 15% | 28 Jan → | |
| vertigo | 13–6 | -0.01 | 18% | 28 Jan → | |
| inferno | 13–5 | 0.06 | 15% | 3 Dec → | |
| train | 8–13 | 0.04 | 10% | 3 Dec → | |
| train | 2–13 | 0.01 | 15% | 3 Dec → | |
| mirage | 5–13 | -0.07 | 15% | 1 Dec → | |
| mirage | 4–13 | -0.05 | 5% | 10 Sept → | |
| mirage | 6–13 | -0.12 | 16% | 29 Nov → | |
| mirage | 11–13 | -0.14 | 0% | 27 Nov → | |
| overpass | 10–13 | -0.06 | 12% | 26 Nov → | |
| mirage | 15–15 | -0.03 | 13% | 23 Nov → | |
| vertigo | 13–3 | 0.01 | 24% | 23 Nov → | |
| ancient | 13–10 | -0.02 | 8% | 22 Nov → | |
| overpass | 8–13 | -0.05 | 28% | 22 Nov → | |
| vertigo | 13–9 | -0.01 | 20% | 21 Nov → | |
| inferno | 14–16 | 0.01 | 10% | 21 Nov → | |
| vertigo | 13–2 | 0.05 | 6% | 21 Nov → | |
| vertigo | 13–9 | -0.06 | 17% | 20 Nov → | |
| nuke | 13–10 | -0.02 | 18% | 20 Nov → | |
| mirage | 13–8 | -0.04 | 21% | 20 Nov → | |
| mirage | 6–13 | -0.08 | 15% | 20 Nov → | |
| overpass | 5–13 | -0.10 | 7% | 19 Nov → | |
| ancient | 8–13 | -0.04 | 15% | 19 Nov → | |
| anubis | 13–8 | -0.02 | 8% | 19 Nov → | |
| mirage | 9–13 | 0.02 | 11% | 19 Nov → |
Match data via Leetify.